Job Title:
Data Engineer
Salary:
£47,790 - £58,410
Location:
Edinburgh
Hours:
Full time
Working Pattern:
Hybrid, 40% (or two days) in an office site
About us
Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the everchanging needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too…
About this opportunity
Lloyds Banking Group is the UK's leading digital franchise, with over 13 million active online customers across our three main brands - including Lloyds Bank, Halifax and Bank of Scotland - as well as the biggest mobile bank in the country. We're building the bank of the future, and we need your help.
The Hive Lab has a clear purpose - to 'unleash Agentic Intelligence and transform Operating Models with Autonomous AI Workflows' and is committed to focussing on the latest technologies in the market and pushing the boundaries on the art of the possible through constant innovation.
As a Data Engineer in the lab, you'll play a key role in building and maintaining the data backbone for our AI and analytics initiatives. You'll assist in designing, developing, and handling robust data pipelines within a cloud-native environment. You'll work closely with data scientists and engineers to ensure the flow of high-quality data, enabling the creation of next-generation solutions.
What you'll do
Assist in crafting, building, and maintaining scalable and reliable workflows and data products.
Support data scientists, analysts, and other collaborators by providing access to high-quality, reliable data.
Identify and suggest improvements to the systems, processes, and security practices managing our data.
Fix and resolve issues with data pipelines and platforms to ensure data quality and availability.
Contribute to documentation, collaboration, and guidelines related to our data assets.
Collaborate with team members on project planning and development activities.
What you'll need
Experience in a quantitative field (Computer Science, Engineering, Mathematics, or related subject area).
Strong proficiency in Python (including libraries like pandas, SQLAlchemy) and SQL for data manipulation and pipeline development.
Foundational understanding of data warehousing, data modelling concepts, and ETL/ELT processes.
Strong problem-solving skills and the ability to work independently with sophisticated datasets.
Familiarity with Git and collaborative development practices.
Excellent communication skills and a collaborative attitude focused on continuous improvement.
It would be great if you have:
Experience with cloud platforms (GCP, Azure, or AWS) and their core data services (e.g., BigQuery, Cloud Storage, AWS S3, Glue).
Familiarity with modern data stack tools such as dbt, Airflow, or similar orchestration and transformation technologies.
Exposure to containerisation (Docker, Kubernetes) and CI/CD practices.
Knowledge of data processing technologies like Spark or Hadoop.
Awareness of data governance principles and data quality management.
About working for us…
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.
We want our people to feel that they belong and can be their best, regardless of background, identity or culture.
We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative.
And it's why we especially welcome applications from underrepresented groups.
We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know.
We also offer a wide ranging benefits package, which includes…
A generous pension contribution of up to 15%
An annual bonus award, subject to Group performance
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
28 days' holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies
If you're excited by the thought of becoming part of our team, get in touch.
We'd love to hear from you!